«Socioeconomic factors may make Medicare's hospital
readmissions data more useful.»
A concern is that not adjusting
readmissions data for poverty or other socioeconomic factors could mislead the public into thinking that hospitals with a large share of disadvantaged patients provide lower - quality care than hospitals with more affluent patients.
Medical records of the patients were reviewed to characterize index and
readmission data.
Not exact matches
FITBIT
DATA AIDS RESEARCHERS IN UNDERSTANDING SURGERY RECOVERY: Fitbit
data can help researchers and doctors predict the risk of 30 - and 60 - day
readmission after surgery for cancer patients, according to a study published in the Annals of Behavioral Medicine.
Through the analysis of 11 years of hospital
data, researchers were able to determine differences in length of stay, episode cost and 30 - day
readmission rates for Medicare patients aged 65 and older by comparing cases where oral nutritional supplements were prescribed to patients with the same conditions to those who weren't prescribed oral nutritional supplements.
In addition, the authors make several useful suggestions as to how these findings could be used to reduce
readmissions — but an important question is how can the
data be used to reduce the pain and suffering that complications cause for patients?
These results contrast with most
readmission studies that rely on administrative
data, which are known to have major deficiencies.
Using patient level
data, the researchers generated risk - adjusted rates of same - hospital and all - hospital
readmissions.
While the Hospital
Readmissions Reduction Program penalizes readmission to any hospital, most hospitals are only tracking same - hospital readmissions using administrative data that is recorded for billi
Readmissions Reduction Program penalizes
readmission to any hospital, most hospitals are only tracking same - hospital
readmissions using administrative data that is recorded for billi
readmissions using administrative
data that is recorded for billing purposes.
The model that incorporates socioeconomic
data showed a much narrower range of
readmissions, 15.3 percent to 17.1 percent.
Recent research using national
data on Medicare suggests that community - based factors, such as availability of general practitioners in the area, may be as or more important than hospital factors in determining
readmission rates, and that patients may have few options other than hospital care for both urgent and non-urgent conditions related to their surgery or other conditions.
A new study shows that if socioeconomic factors related to patients» income and education are taken into account, differences in
readmission rates among hospitals may not be as great as Medicare
data indicate.
The researchers looked at
data on 157 hospital
readmissions in the Inova Fairfax Hospital ACS NSQIP database.
Data was collected for all - cause mortality and time to
readmission for heart attack and revascularization, and analyses controlled for other cardiovascular risk factors.
The Centers for Medicare and Medicaid Services (CMS) posts
data on 30 day
readmissions for three common causes of hospital admissions: heart attack; heart failure; and pneumonia.
New
data released by the federal Department Of Health And Human Services indicates there has been a decline in the number of hospital
readmissions, as well as the number of hospital - acquired infections across the country's hospitals.
Data collected for the most recent ABA Survey on Lawyer Disciplinary Systems indicates that 674 petitions, motions or requests for reinstatement or
readmission (which adds retaking the bar exam to other requirements for reinstatement) were filed during 2011 in the jurisdictions that responded.
Conducted
data analysis using logistical model, LDA, QDA, KNN, tree classification and random forest method to identify high
readmission risk patient and improved the accuracy (C - scores) by 30 percent.
Data for 8 control mothers were eliminated from analyses because of an extended PICU stay of > 21 days (30 days)(n = 1),
readmission to the PICU before hospital discharge (n = 5), a planned admission (n = 1), or death (n = 1).
After enrollment and randomization to a study group,
data for 3 COPE mothers were eliminated, because of a prior admission to the PICU (n = 1),
readmission to the PICU before discharge (n = 1), or death after multiple
readmissions to the PICU (n = 1).